Revanth Gangi Reddy

AI Researcher

Champaign, Illinois, United States3 yrs 10 mos experience

Key Highlights

  • PhD candidate at UIUC specializing in AI research.
  • Interned at top tech companies including Google and Apple.
  • Published research in leading AI conferences.
Stackforce AI infers this person is a highly skilled AI researcher with extensive experience in machine learning and software development.

Contact

Skills

Other Skills

Deep LearningMachine LearningData MiningSoftware DevelopmentPythonDjangoRuby on RailsCJavaData AnalysisNatural Language Processing

Experience

Google deepmind

Research Scientist

Aug 2025Present · 7 mos · New York, United States

  • Gemini Post-Training

Salesforce

AI Research Intern

Feb 2025Jul 2025 · 5 mos · Palo Alto, California, United States

  • Research intern working on finetuning RAG agents

Apple

Research Intern

May 2023Aug 2023 · 3 mos

  • Research Intern in the Apple Knowledge Platform Team

Allen institute for ai (ai2)

Research Intern

May 2022Jul 2022 · 2 mos · Seattle, Washington, United States

  • Research intern in the AllenNLP team working on neural information retrieval

Amazon

Applied Scientist Intern

Jan 2022May 2022 · 4 mos · Seattle, Washington, United States

  • Alexa Web Information Team

Ibm research

AI Resident

Oct 2019Oct 2020 · 1 yr · Greater New York City Area

  • AI Resident in the Multi-lingual NLP team, working on domain adaptation in the space of question answering and information retrieval.

Microsoft

Software Engineer

Oct 2018Sep 2019 · 11 mos · Vancouver, Canada Area

  • Software engineer in the Data Integration team. Our team is responsible for developing and shipping connectors that are used in PowerApps, LogicApps and Flow.

Ibm research ai

Research Intern

May 2018Jul 2018 · 2 mos · New Delhi Area, India

  • Interned in the Watson Conversations team.
  • Worked on improving the performance of dialogue systems using Deep Learning and Natural Language Processing. Proposed a novel memory architecture for task-oriented dialogs and achieved state-of-the-art performance on multiple real life dialogue datasets.
  • My work during the internship has been accepted as a conference paper at North American Chapter of the Association for Computational Linguistics (NAACL) 2019.

Indian institute of technology, madras

Undergraduate Research Assistant

Aug 2017May 2018 · 9 mos · Chennai Area, India

  • Worked on multiple projects as an undergraduate research assistant in the Computer Science Department.
  • 1) Proposed a graph generative model based on graph grammars. This work has been accepted as a conference paper at SIAM International Conference on Data Mining (SDM) 2019.
  • 2) Worked on visual question answering for scientific plots and proposed a deep learning based modular neural network that improved performance over existing baselines both in terms of accuracy and training time. This work has been accepted as a conference paper at IEEE International Joint Conference on Neural Networks (IJCNN) 2019.

Microsoft

Research Engineering Intern

May 2017Jul 2017 · 2 mos · Hyderabad Area, India

  • Interned in the Cortana Personalization team.
  • Analyzed user behaviour patterns based on user temporal data and developed a model for forecasting user activity given the past history.

Education

University of Illinois Urbana-Champaign

Doctor of Philosophy - PhD — Computer Science

Jul 2025Present

University of Illinois Urbana-Champaign

Master of Science - MS — Computer Science

Jan 2021May 2022

Indian Institute of Technology, Madras

Bachelor's degree — Computer Science

Jan 2014Jan 2018

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